ResMorCNN Model: Hyperspectral Images Classification Using Residual-Injection Morphological Features and 3DCNN Layers

ResMorCNN Model: Hyperspectral Images Classification Using Residual-Injection Morphological Features and 3DCNN Layers

Hyperspectral imagery is widely used for analyzing substances and objects, specifically focusing on their classification. The advancement of processing capabilities and the emergence of cloud computing platforms have made deep learning (DL) models increasingly popular for accurately and efficiently...

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Bibliographic Details
Main Authors: Mohammad Esmaeili, Dariush Abbasi-Moghadam, Alireza Sharifi, Aqil Tariq, Qingting Li
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
3-D convolution neural network (3DCNN)
deep learning (DL)
hyperspectral image (HSI)
image classification
residual connection
spatial-spectral morphological features (SSMF)
Online Access:https://ieeexplore.ieee.org/document/10301532/

Internet

https://ieeexplore.ieee.org/document/10301532/

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